Introduction/Review of Tidyverse
- Tidyverse: a collection of open source packages for the R programming language introduced by Hadley Wickham and his team that “share an underlying design philosophy, grammar, and data structures” of tidy data. (Wikipedia)
- Widely used approach to data science in R
Resources to learn Tidyverse
- Links embedded in the assignment
- R for Data Science: https://r4ds.hadley.nz/intro
- Data Carpentry: https://datacarpentry.org/R-ecology-lesson
Science Question
How does water quality (temperature and chlorophyll-a) vary across time and among drinking water reservoirs in the Roanoke region?
Data
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Photo credit: Cayelan Carey
Data
CSV data is available through the Environmental Data Initiative repository
Data
The data are from the National Science Foundation funded Virginia Reservoirs Long-Term Research in Environmental Biology site.
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Assignment
The assignment is designed to help you review R tidyverse skills that were introduced before the course.
- Accept (e.g., fork) assignment
- Clone your accepted assignment repo to your computer
- Work on assignment (many commits expected)
- Push assignment to GitHub (many times - this a backup)
- Final render of the document to HTML
- Commit and push HTML to GitHub
- Upload HTML to Canvas
